Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54111
Title: Segmentation and recognition in visual chromatic spaces
Authors: Gonzalez-Rodriguez, M.
Benitez-Diaz, D.
Suarez-Araujo, C. P. 
Issue Date: 1990
Publisher: 0196-9722
Journal: Cybernetics and Systems 
Abstract: The discriminatory additional information supplied by chromatic components of an image is useful for segmentation techniques that allow fast and efficient separation of the objects in a scene. We show a method that has two essential processes for separating and recognizing pans of a scene in the UVY visual chromatic space. In the learning process, each part of the scene is analyzed, extracting all its discriminatory chromatic features. For this purpose we use a clustering analysis, which divides the scene in several sections with similar chromatic features. This set of features constitutes the “learning bank.” The recognition process consists of recognizing, using the learning bank, each section obtained in clustering analysis. © 1990 Taylor & Francis Group, LLC.
URI: http://hdl.handle.net/10553/54111
ISSN: 0196-9722
DOI: 10.1080/01969729008902237
Source: Cybernetics and Systems[ISSN 0196-9722],v. 21, p. 241-247
Appears in Collections:Artículos
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